Autonomous Unmanned Systems



UXV803 – Autonomous Unmanned Systems – 6 Credits

This course is part of the core focus area curriculum for the masters and doctorate degree programs.

Instructor: Mr. John Sauter

This course provides a comprehensive background in autonomous control of unmanned systems. It describes the different levels of control in autonomous systems and, drawing from multiple examples, defines a generic control architecture. The basic elements of control theory and feedback control are covered including PID, fuzzy logic, and artificial neural networks and are applied to the design of simple robotic controller. Each of the key elements in autonomous systems is reviewed. Starting with sensing, we work through higher levels of information processing such as feature extraction, detection, recognition, and identification. The special problem of geo-location and mapping is discussed. We describe how this information can be represented in a world model including uncertainty and probabilistic descriptions of state. Mechanisms for reasoning, planning, and optimization in decision-making are described. Basic coordination schemes are discussed such as group decision-making, task allocation, scheduling, and formation control. Human interfaces and adjustable levels of autonomy, and issues related to establishing trust in autonomous systems are discussed. The course concludes with an overview of swarming systems and biological mechanisms for collaborative control of multiple systems. Design patterns for swarm control are discussed and a sample system developed. Case studies of swarm control are studied and their effectiveness evaluated.

Prerequisites: College calculus course

Additional information

Discount Level

Standard Tuition, Military Veteran Tuition